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Apple

engineering opportunity

Senior Machine Learning Engineer, Search & Knowledge Platforms

You will leverage and improve upon the latest LLM and machine learning techniques to understand queries, rank user intents, and generate answers. The role involves training and deploying models at scale while optimizing for online inference.

Seattle, Washington, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

Do you want to make Siri and Apple products smarter for our users? The Answers,

Knowledge & Information team is redefining how hundreds of millions of people

use their devices to get information. We are an Applied ML team pushing the

limits of apple intelligence, assistant response ranking, and search

technologies, while also responsible for a production service. We are part of a

wider effort to power information across a variety of Apple products – including

Siri, Spotlight, Safari, Messages, Lookup, and more. In our team, you will be

leveraging and improving upon the latest LLM/ML techniques in order to

understand queries, rank user intents, rank documents, and generate answers to

users’ questions. Our team is responsible for training and deploying these

models at scale, using the latest advances for online inference optimization.

DESCRIPTION

As a member of our fast-paced group, you’ll have the unique and rewarding

opportunity to shape upcoming products from Apple. Our team includes a diversity

of backgrounds from applied machine learning engineers with a focus on ML and

LLM to experienced distributed systems engineers. As such, we are looking for

candidates with applied machine learning experience and strong software

engineering skills.

MINIMUM QUALIFICATIONS

8+ years of industry related experience, working in collaborate environments

Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning

models Understanding product requirements and then translating them into

modeling tasks and engineering tasks Building models for search relevance

ranking, query understanding, and summarization BS or MS in Computer Science or

related field

PREFERRED QUALIFICATIONS

PhD in Computer Science, Artificial Intelligence, Machine Learning, Information

Retrieval, Data Science or related field Experience in RAG, LLM Reasoning, and

LLM Agent Experience working in a complex organization with multiple

collaborators, strong track record in scaling and launching projects in this

setting

Which skills does this role require?

Large Language ModelsPyTorchTensorFlowJAXSearch RelevanceQuery UnderstandingSummarizationDistributed SystemsInformation RetrievalSoftware EngineeringSiriSearch TechnologiesDeep LearningInference OptimizationApple IntelligenceLLMs

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Role information can change. Confirm current details on the original application page.

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